Recent Submissions

An important and underestimated task to support reading of images in radiology is a proper annotation of findings. In radiology reading, 2D slice images from a given modality (e.g. CT or MRI) need to be analyzed carefully ...

Molecular visualizations are a principal tool for analyzing the results of biochemical simulations. With modern GPU ray casting approaches it is only possible to render several millions of atoms at interactive frame rates ...

Kinetic modeling is the tool of choice when developing new positron emission tomography (PET) tracers for quantitative functional analysis. Several approaches are widely used to facilitate this process. While all these ...

The toponome of a cell describes the location and topological distribution of proteins across the cell. In toponomics, the toponome is imaged and its inner structure and its semantics are investigated in order to understand ...

Functional brain connectivity from fMRI studies has become an important tool in studying functional interactions in the human brain as a complex network. Most recently, research has started focusing on whole brain functional ...

Surface models derived from medical image data often exhibit artifacts, such as noise and staircases, which can be reduced by applying mesh smoothing filters. Usually, an iterative adaption of smoothing parameters to the ...

Residual stress is the stress which remains in a deformable body in the absence of external forces. Due to the release of residual stress after cutting, soft tissues will shrink and the wound will open. Thus, to realistically ...

Vessel segmentation is an important prerequisite for many medical applications. While automatic vessel segmentation is an active field of research, interaction and visualization techniques for semi-automatic solutions have ...

In the past years sophisticated automatic segmentation algorithms for various medical image segmentation problems have been developed. However, there are always cases where automatic algorithms fail to provide an acceptable ...

Ultrasound as an acoustic imaging modality suffers from various kinds of noise. The presence of noise especially hinders the 3D visualization of ultrasound data, both in terms of resolving the spatial occlusion of the ...

Multimodal registration of intraoperative ultrasound and preoperative computed tomography imaging is the basis for percutaneous hepatic interventions. Currently, a rigid registration is performed manually by the surgeon ...

Surgical treatment of cerebral arteriovenous malformations (AVMs) requires thourough preoperative planning for the intervening neurosurgeon. The goal of such planning is to gain a precise understanding of the patho-anatomy ...

Brightness modulation (B-Mode) ultrasound (US) images are used to visualize internal body structures during diagnostic and invasive procedures, such as needle insertion for Regional Anesthesia. Due to patient availability ...

Multi-modal display of neurological data in anatomical context is a challenging issue in biomedical visualization. We present an application-driven approach, which solves the visibility issues arising from the simultaneous ...

The structural organization of neural circuitry is an important determinant of brain function. Thus, knowing the brain's wiring (the connectome) is key to understanding how it works. For example, understanding how sensory ...

Advanced diffusion imaging enables the reconstruction of complex fiber configurations such as crossings or fannings. However, resulting visualizations often suffer from visual clutter which makes exploration challenging. ...